Compute 2D human pose and angles from a video or a webcam.
Ultralytics YOLO11 🚀
This demo is a simple software that I created using my studies and courses. It's designed for real-time object detection and tracking in video streams, using YOLOv8 for detection and ByteTrack for multi-object tracking. It is suitable for tracking objects in video footage, and can run on both GPU and CPU.
A powerful CLI tool for managing AI prompts with modern features.
About AI-Powered Medical Assistant 🏥🤖 The AI-Powered Medical Assistant is an intelligent healthcare platform that utilizes AI to assist users in symptom analysis, treatment recommendations, medical research, and patient management. By integrating advanced AI models and multiple innovative features, this project enhances healthcare accessibility,
autoupdate paper list
🤖 Explore curated resources for Human Activity Recognition (HAR), including datasets for action recognition, motion capture, and pose estimation.
📊 Monitor your macOS network in real-time with Peek—get instant insights on packets, speed, and statistics right from your menu bar.
🗓️ Build responsive web applications with ease using React, HTML, CSS, and JavaScript, focusing on user-centered design and performance optimization.
🌐 Explore modular manifolds with clear code and techniques for advanced machine learning updates and training loops.
🚀 Build and deploy state-of-the-art computer vision models with Ultralytics YOLO, designed for speed and accuracy in real-time applications.
Markerless kinematics with any cameras — From 2D Pose estimation to 3D OpenSim motion
🧩 Calibrate your camera and estimate chessboard poses effortlessly with this modular OpenCV system for accurate visual processing.
🖼️ Estimate 3D object poses from 2D images using advanced algorithms and Intel RealSense cameras; a robust toolkit for learning and research.
🤖 Explore open-source robotics models and packages, including advanced vision-language-action systems for versatile applications and fine-tuning options.
🌟 Align diffusion processes with detailed human preferences to improve machine learning models for richer, more accurate outputs.
Ultralytics YOLO 🚀
🔥 🔥 🔥 A paper list of some recent Computer Vision(CV) works
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
RTMPose series (RTMPose, DWPose, RTMO, RTMW) without mmcv, mmpose, mmdet etc.
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